21 citations · 24 across the 4 of their papers we have counts for
4 papers · 1 filter
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations
Meishan Zhang, Zhenghua Li, Guohong Fu +1
Syntax has been demonstrated highly effective in neural machine translation (NMT). Previous NMT models integrate syntax by representing 1-best tree outputs from a well-trained pars…
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction
Zhengqiu He, Wenliang Chen, Zhenghua Li +3
Distant supervised relation extraction is an efficient approach to scale relation extraction to very large corpora, and has been widely used to find novel relational facts from pla…
Training Dependency Parsers with Partial Annotation
Zhenghua Li, Yue Zhang, Jiayuan Chao +1
Recently, these has been a surge on studying how to obtain partially annotated data for model supervision. However, there still lacks a systematic study on how to train statistical…
Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data
Qingrong Xia, Zhenghua Li, Jiayuan Chao +1
This paper describes our system designed for the NLPCC 2016 shared task on word segmentation on micro-blog texts.